摘要
在回归模型研究与应用中,非正态分布假设、非线性回归模型与组合模型建模是重要的研究问题。首先针对非线性建模,引入压缩函数,提出了一种非线性回归建模方法;其次针对单个模型的局限性,引入线性回归与时间序列模型组合,提出了一种组合加法模型的建模方法;最后针对非正态分布假设建模,利用随机变量和分布,提出了一种基于非正态分布的和模型,为非线性回归、组合模型与非正态分布假设建模提供了新的方法。
In the study and application of linear regression model, modeling methods based on abnormal distribution, non-linear regression and combined models are three important problems. In order to solve these difficult problems, a new method of building non-linear models is firstly proposed by applying functions. A method of building additive models is then put forward by combining linear regression and time series models. Finally, a modeling method from abnormal distribution is advanced by applying summation distribution in the paper.
出处
《北京信息科技大学学报（自然科学版）》
2009年第3期1-6,共6页
Journal of Beijing Information Science and Technology University
基金
国家自然科学基金(70873005)
关键词
回归建模
压缩函数
组合加法模型
非正态分布和模型
regression modeling
compression function
combined additive
abnormal distribution summation model
